Download DataMinerXL Software
DataMinerXL software includes two files: one xll file and one xla file. We have prepared a collection of sample spreadsheets to demonstrate the use of each function in DataMinerXL software. After you download and install the software, you can immediately see how these functions work in spreadsheets.
We hope you enjoy using this software!
Download Software
Based on the version of your Excel (32-bit or 64-bit), you choose one of the following zip files. Download/unzip the zip file and save these two files to a folder, for example "C:\Program Files\DataMinerXL".
- DataMinerXL_Win32.zip contains two files: DataMinerXL_Win32.xll and DataMinerXL_Utility.xla for 32-bit Excel
- DataMinerXL_x64.zip contains two files: DataMinerXL_x64.xll and DataMinerXL_Utility.xla for 64-bit Excel
Download DataMinerXL_Win32.zip now
Download DataMinerXL_x64.zip now
Download Manual
This is the manual of DataMinerXL.
- It explains how to install add-ins in section 1.2.
- It introduces some tips of using Microsoft Excel in section 1.3.
- It shows the arguments and return values for each function in DataMinerXL software.
Download DataMinerXL_Manual.pdf now
Download Spreadsheets
Here is a collection of sample spreadsheets showing how to use each function in DataMinerXL software. The spreadsheets are organized in terms of the following categories.
Download all sample spreadsheets now
File Name | Description |
---|---|
basic_stats.xlsx | Spreadsheet for basic statistics |
weight_of_evidence.xlsx | Spreadsheet for weight of evidence transformation |
pca_factor_analysis.xlsx | Spreadsheet for principal component analysis and factor analysis |
linear_reg.xlsx | Spreadsheet for linear regression |
pls_reg.xlsx | Spreadsheet for partial least square regression |
logistic_reg.xlsx | Spreadsheet for logistic regression |
time_series_analysis.xlsx | Spreadsheet for time-series analysis |
lda_qda.xlsx | Spreadsheet for linear and quadratic discriminant analysis |
survival_analysis.xlsx | Spreadsheet for survival analysis |
correspondence_analysis.xlsx | Spreadsheet for correspondence analysis |
naive_bayes.xlsx | Spreadsheet for naive-Bayes classification |
decision_tree_based_model.xlsx | Spreadsheet for decision tree-based model |
clustering_segmentation.xlsx | Spreadsheet for clustering and segmentation |
neural_network_model.xlsx | Spreadsheet for neural network model |
support_vector_machine.xlsx | Spreadsheet for support vector machine (SVM) model |
optimization.xlsx | Spreadsheet for optimization |
portfolio_optimization.xlsx | Spreadsheet for portfolio optimization |
control_theory.xlsx | Spreadsheet for control theory |
matrix_operations.xlsx | Spreadsheet for matrix operations |
fast_Fourier_transform.xlsx | Spreadsheet for fast Fourier transform |
numerical_integration.xlsx | Spreadsheet for numerical integration by Gaussian quadrature |
probability_distribution.xlsx | Spreadsheet for probability distributions |
data_manipulation_functions.xlsx | Spreadsheet for data manipulation functions |